ABOUT BARINGA:

We set out to build the world’s most trusted consulting firm – creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE 100 names to bright new start-ups, in every sector.
You’ll find us collaborating shoulder-to-shoulder with our clients, from the big picture right down to the detail: helping them define their strategy, deliver complex change, spot the right commercial opportunities, manage risk, or bring their purpose and sustainability goals to life. Our clients love how we get to know what makes their organisations tick – slotting seamlessly into their teams and being proudly geeky about solving their challenges.
We have hubs in Europe, the US, Asia and Australia, and we work all around the world - from a wind farm in Wyoming to a boardroom in Berlin. Find us wherever there’s a challenge to be tackled and an impact to be made.

OUR COMMODITIES AND ENERGY TRADING PRACTICE ARE LOOKING FOR AN EXPERIENCED DATA ENGINEER TO JOIN THE TEAM IN SINGAPORE.

Our Commodities and Energy Trading Team based in Singapore works predominately with tier 1 Energy, Metals/ Mining and Agricultural traders across APAC to help them to deliver strategic, digital, and operational change projects. Our deep content expertise is recognised by our clients and means that they come to us to help them with their most important or challenging projects.
We are looking for highly motivated & talented individuals to join and grow our Data Engineering capabilities. This is an exciting opportunity for experienced professionals who want to work for a top tier global management consultancy, offering the associated world-class global client base, dynamic engagements, training, travel, reward and career development opportunities. You will also help us build our practice by supporting rewarding internal initiatives and new business opportunities, contributing to the continued growth of the firm in Singapore and globally.
You will be using your extensive experience to help our clients solve their most important data challenges. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client’s challenges. Depending on the level, you can be a part of the data engineering capability leadership team, shaping the direction of the practice, growing the business, and leading our people.

YOUR SKILLS AND EXPERIENCE

• We’re looking for experienced consultants (or those with consulting skills gained in industry) who can both advise our clients and, when needed, get hands on in bringing a solution to life.
• You must have between 2 and 5 years of experience in hands on data engineering, solution design, and architecture.
• Understanding of key core concepts like distributed computing, batch and stream processing, functional and object-orientated programming, how pipelines are built and deployed on cloud, pipeline schedules and SLAs.
• Experience of designing and building at least one modern data analytics solution using cloud technologies (Azure, AWS, GCP).
• You have expertise in designing robust, scalable solutions and data pipelines to automate the ingestion, processing, orchestration, and delivery of all types of data: structured and unstructured, batch and real-time streaming data.
• You understand common data engineering/data architecture patterns and anti-patterns dealing with different types of data.
• Capability to complete assigned projects with high degree of autonomy working with key client stakeholders.
• You have experience of applying DevOps practices to data engineering, including automated testing, and deployment of specific components (e.g., database changes) using a continuous integration pipeline.
• You have worked on big data platforms either on premises or on cloud.
• You have experience in using cloud technologies as both infrastructure and as a service.
• You have knowledge of building CI/CD pipelines.
• Competent in SQL and at least one modern programming language, such a Python.
• You are well-versed with documentation and artefacts that needs to go along with the solution design and delivery work. For example, high- and low-level solution design, coding standards, technical specifications, etc.
• You hold at least a bachelor’s degree, in any discipline. A master’s degree in a technical discipline (computer science, engineer, or another STEM discipline) would be helpful but is not essential for success.

• Define and implement end to end data architecture including data pipelines and data models.
• Help our clients transition to modern cloud-based infrastructures (AWS, Azure, GCP) and to leverage related architecture patterns (e.g., APIs, events).
• Work with our clients in more traditional areas of data engineering such as, data warehousing, building operational ETL/ELT data pipelines across several sources, and constructing relational and dimensional data models.
• Define and implement on premise and cloud architectures. Examples of these architectures could be to implement a cloud data warehouse, data lake or a data platform to enable digital transformation.
• Perform maturity assessments across our clients’ data capabilities and recommend changes to improve their capabilities.